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- W2380221514 abstract "To solve the tracking and predictability of unmanned car vehicle in dynamic objectives,the methods of vehicle detection by SICK and Velodyne are introduced and compared;the suitable laser radar layout on the dynamic obstacles in the road junctions environment(mainly is the vehicles,pedestrians) information extraction is carried out based on methods of vehicle detection by Velodyne.The interactive multi-model(IMM) algorithm is selected to predict the trend of the dynamic target motion.The IMM algorithm is optimized,the three times curvature polynomial algorithm of local path planning is Abstracted as path planning model;the conventional vehicle motion model is replaced by the IMM algorithm filter model as the filter model.The results show that the IMM algorithm using the path planning model has better advanced and higher precision in the predicting of behaviors of the vehicle." @default.
- W2380221514 created "2016-06-24" @default.
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- W2380221514 date "2013-01-01" @default.
- W2380221514 modified "2023-09-23" @default.
- W2380221514 title "Unmanned vehicle tracking prediction technology based on interacting multiple model method" @default.
- W2380221514 hasPublicationYear "2013" @default.
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